Zobrazeno 1 - 10
of 15
pro vyhledávání: '"H B Winther"'
Publikováno v:
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf2aec75d28cde59b0401c5107d53dc4
https://doi.org/10.1055/s-0043-1763055
https://doi.org/10.1055/s-0043-1763055
Autor:
Tri-Thuc Vo, Thanh-Nghi Do
Publikováno v:
Journal of Information & Communication Convergence Engineering; Jun2024, Vol. 22 Issue 2, p165-171, 7p
Publikováno v:
Australian Occupational Therapy Journal; Oct2023, Vol. 70 Issue 5, p570-580, 11p
Autor:
Norinder, Maria, Axelsson, Lena, Årestedt, Kristofer, Grande, Gunn, Ewing, Gail, Alvariza, Anette
Publikováno v:
Journal of Clinical Nursing (John Wiley & Sons, Inc.); Jul2023, Vol. 32 Issue 13/14, p4092-4102, 11p
Autor:
Kenneth Thomsen, Anja Liljedahl Christensen, Lars Iversen, Hans Bredsted Lomholt, Ole Winther
Publikováno v:
Frontiers in Medicine, Vol 7 (2020)
Thomsen, K, Christensen, A L, Iversen, L, Lomholt, H B & Winther, O 2020, ' Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases ', Frontiers in medicine, vol. 7, pp. 574329 . https://doi.org/10.3389/fmed.2020.574329
Thomsen, K, Christensen, A L, Iversen, L, Lomholt, H B & Winther, O 2020, ' Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases ', Frontiers in Medicine, vol. 7, 574329 . https://doi.org/10.3389/fmed.2020.574329
Frontiers in Medicine
Thomsen, K, Christensen, A L, Iversen, L, Lomholt, H B & Winther, O 2020, ' Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases ', Frontiers in medicine, vol. 7, 574329 . https://doi.org/10.3389/fmed.2020.574329
Thomsen, K, Christensen, A L, Iversen, L, Lomholt, H B & Winther, O 2020, ' Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases ', Frontiers in medicine, vol. 7, pp. 574329 . https://doi.org/10.3389/fmed.2020.574329
Thomsen, K, Christensen, A L, Iversen, L, Lomholt, H B & Winther, O 2020, ' Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases ', Frontiers in Medicine, vol. 7, 574329 . https://doi.org/10.3389/fmed.2020.574329
Frontiers in Medicine
Thomsen, K, Christensen, A L, Iversen, L, Lomholt, H B & Winther, O 2020, ' Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases ', Frontiers in medicine, vol. 7, 574329 . https://doi.org/10.3389/fmed.2020.574329
Background: Diagnosis of skin diseases is often challenging and computer-aided diagnostic tools are urgently needed to underpin decision making. Objective: To develop a convolutional neural network model to classify clinically relevant selected multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fad1453ddd7bdc880f3b381fae46db16
https://www.frontiersin.org/article/10.3389/fmed.2020.574329/full
https://www.frontiersin.org/article/10.3389/fmed.2020.574329/full
Autor:
Ramos, Cayo1, Winther, Jacob R.1
Publikováno v:
European Journal of Biochemistry. 11/15/96, Vol. 242 Issue 1, p29-35. 7p.
Publikováno v:
IEEE Transactions on Medical Imaging; Sep2018, Vol. 37 Issue 9, p2137-2148, 12p
Autor:
Sampén, Denilson, Lavarello, Roberto
Publikováno v:
Proceedings of SPIE; 1/2/2022, Vol. 12035, p120350Z-120350Z-5, 1p
Publikováno v:
Advanced Functional Materials; Dec2011, Vol. 21 Issue 24, p4607-4616, 10p
Autor:
Gunn Grande, Annemette Blach, Lone Ross, Gail Ewing, Mai-Britt Guldin, Morten Aagaard Petersen, Helen Winther, Elizabeth Emilie Rosted, Signe Weensgaard, Marianne Hasse, Hanne Bollerup Farholt, Line Lund, Louise Laursen, Mogens Groenvold, Gitte Irene Juhl, Georg Bollig
Publikováno v:
Lund, L, Ross, L, Petersen, M A, Blach, A, Rosted, E E, Bollig, G, Juhl, G I, Farholt, H B, Winther, H W, Laursen, L, Hasse, M, Weensgaard, S, Guldin, M-B, Ewing, G, Grande, G & Grønvold, M 2020, ' Effect of the Carer Support Needs Assessment Tool intervention (CSNAT-I) in the Danish specialised palliative care setting: a stepped-wedge cluster randomised controlled trial ', BMJ Supportive & Palliative Care . https://doi.org/10.1136/bmjspcare-2020-002467
BackgroundThe Carer Support Needs Assessment Tool intervention (CSNAT-I) has been shown to improve end-of-life care support for informal caregivers. This study investigated the impact of the CSNAT-I on caregivers of patients recently enrolled in spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::919f75c9a474636ac7042f39dd7bfa7c
https://doi.org/10.1136/bmjspcare-2020-002467
https://doi.org/10.1136/bmjspcare-2020-002467